Keyframe analysis is the process of examining selected important frames from a video to understand its content, actions, or changes over time. It can involve identifying objects, people, scenes, movements, or visual patterns within representative frames rather than processing every frame individually. By focusing on meaningful frames, computer vision systems can extract useful information more efficiently while still capturing important events and transitions in a video.
For example, a sports analysis system can examine keyframes from a recorded match to identify player positions, ball movement, and important moments such as goals or scoring attempts. Keyframe analysis is useful in video search, content summarization, media indexing, surveillance, sports analytics, and machine learning. It helps reduce processing requirements while making large video collections easier to understand and analyze.
